iPad (10th generation)
Geekbench AI Score
2703
Single Precision Score
4646
Half Precision Score
3841
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 21 2026 10:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad (10th generation) |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
1950
362.6 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2141
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5464
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
11324
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10059
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
97% |
2123
169.0 IPS |
|
|
Object Detection (Q)
|
94% |
1567
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2648
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4869
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8995
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6445
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14021
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23996
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19970
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2956
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3152
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3615
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3900
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3902
67.4 IPS |
